The rapidly-growing interest for neural networks has been emphasizing their capabilities for object classification. Nevertheless, few applications have been turning out to be really industrially significant. In this paper, we present an application of neural network to 2D object recognition. The RCE model is used to retrieve the reference of an aluminum profile among 1600 possible classes. Although the learning phase is time-consuming, the recognition is carried out on-line.